AI Engineer (AI Enablement)

Responsibilities Role Summary The Delivery Practice Coach (TS03) is a hands-on technical coach who helps product engineering teams improve how they deliver software in an AI-accelerated environment. This role focuses on enabling teams to adopt AI-assisted engineering practices, strengthen delivery discipline, and improve flow and predictability. It is not a traditional process or ceremony-focused coaching role. Instead, it emphasizes practical improvement grounded in real engineering work. Approximately half of this role is focused on AI enablement and AI-assisted engineering, with the remaining time split between delivery practices and flow optimization. How Time Is Spent 50% AI Enablement and AI-Assisted Engineering 25% Delivery Practices and Operational Discipline 25% Flow Optimization and Throughput Improvement Core Responsibilities AI Enablement and AI-Assisted Engineering (approximately 50%) Delivery Practice Coaches help teams meaningfully integrate AI into how they plan, build, test, document, and review software. They act as experienced AI practitioners themselves, using AI in real workflows to validate guidance and reduce uncertainty for teams. Coach product managers, technical leads, and engineering managers on practical, responsible AI usage across real engineering workflows. Use personal hands-on AI experience to validate recommendations and build credibility. Help teams redesign workflows to take advantage of AI while maintaining quality, security, and engineering standards. Translate emerging AI capabilities into clear team practices, guardrails, and learning paths. Address resistance, misuse concerns, and quality risks through coaching and enablement rather than mandates. Help teams and leaders think ahead about how AI is changing the software development lifecycle and what needs to evolve now.